X-LINUX-AI v2.0.0

Compatible with OpenSTLinux Distribution release v1.2.0

For further information:
https://wiki.st.com/stm32mpu/wiki/X-LINUX-AI_OpenSTLinux_Expansion_Package
and:
https://wiki.st.com/stm32mpu/wiki/How_to_install_X-LINUX-AI_v2.0.0_on_OpenSTLinux_v1.2.0

Signed-off-by: Vincent ABRIOU <vincent.abriou@st.com>

Author: vinceab

README.md

@@ -1,25 +1,29 @@
 # meta-st-stm32mpu-ai
 OpenEmbedded meta layer to install AI frameworks and tools for the STM32MP1.
-
-Available images:
-* st-image-ai-cv for Computer Vision
+It also provide application samples.
 
 ## Compatibility
-Compatible with the following OpenSTLinux Distribution release v1.1.0:
-* openstlinux-4.19-thud-mp1-19-10-09
+This version has been validated against the OpenSTLinux ecosystem release v1.2.0 and validated on STM32MP157x-DKx and STM32MP157x-EV1 boards.
 
 ## Available frameworks and tools within the meta-layer
-[X-LINUX-AI-CV v1.1.0 expansion package](https://wiki.st.com/stm32mpu/wiki/X-LINUX-AI-CV_OpenSTLinux_expansion_package):
-* TensorFlow Lite 2.0.0
-* OpenCV 3.4.x
-* Python 3.5.x (enabling Pillow module)
-* Python application examples
-  * Image classification example based on MobileNet v1 model
-  * Object detection example based on COCO SSD MobileNet v1 model
-* C/C++ application examples
-  * Image classification example based on MobileNet v1 model
-  * Object detection example based on COCO SSD MobileNet v1 model
-* Support of the STM32MP157 Avenger96 board + OV5640 CSI camera mezzanine board
+[X-LINUX-AI v2.0.0 expansion package](https://wiki.st.com/stm32mpu/wiki/X-LINUX-AI_OpenSTLinux_Expansion_Package):
+* TensorFlow Lite 2.2.0
+* Coral Edge TPU accelerator support
+* armNN 20.05
+* OpenCV 4.1.x
+* Python 3.8.x (enabling Pillow module)
+* Support STM32MP15xF devices operating at up to 800MHz
+* Python and C++ application samples
+  * Image classification using TensorFlow Lite based on MobileNet v1 quantized model
+  * Object detection using TensorFlow Lite based on COCO SSD MobileNet v1 quantized model
+  * Image classification using Coral Edge TPU based on MobileNet v1 quantized model and compiled for the Coral Edge TPU
+  * Object detection using Coral Edge TPU based on COCO SSD MobileNet v1 quantized model and compiled for the Coral Edge TPU
+  * Image classification using armNN TensorFlow Lite parser based on MobileNet v1 float model
+  * Object detection using armNN TensorFlow Lite parser based on COCO SSD MobileNet v1 quantized model
+
+## Further information on how to install and how to use
+<https://wiki.st.com/stm32mpu/wiki/X-LINUX-AI_OpenSTLinux_Expansion_Package>
+<https://wiki.st.com/stm32mpu/wiki/How_to_install_X-LINUX-AI_v2.0.0_on_OpenSTLinux_v1.2.0>
 
-## Further information (how to install, how to use, ...)
-<https://wiki.st.com/stm32mpu/wiki/STM32MP1_artificial_intelligence_expansion_packages>
+## Application samples
+<https://wiki.st.com/stm32mpu/wiki/X-LINUX-AI_application_samples_zoo>